Paper Info
Title
Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection.
Abstract
Geospatial object detection (GOD) of remote sensing imagery has been attracting increasing interest in recent years, due to the rapid development in spaceborne imaging. Most of the previously proposed object detectors are very sensitive to object deformations, such as scaling and rotation. To this end, we propose a novel and efficient framework for GOD in this letter, called Fourier-based rotation...
Year
DOI
Venue
2019
10.1109/LGRS.2019.2919755
IEEE Geoscience and Remote Sensing Letters
Keywords
DocType
Volume
Feature extraction,Training,Boosting,Object detection,Remote sensing,Frequency modulation,Geospatial analysis
Journal
17
Issue
ISSN
Citations 
2
1545-598X
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Xin Wu1163.89
Danfeng Hong218333.29
Jocelyn Chanussot34145272.11
Xu, Y.4687.82
Ran Tao5899100.20
Yue Wang648638.99